import sys
import os
import logging
import re
import json
from typing import Dict, List, Any, Optional, Tuple

# 添加项目根路径到 sys.path
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..'))

# 导入 MySQLUtil
from shared.utils.MySQLUtil import MySQLUtil

# 设置日志
logger = logging.getLogger(__name__)

def get_各学历_求职途径分布(
    project_id: int,
    questionnaire_ids: List[int],
    product_code: Optional[str] = None,
    project_code: Optional[str] = None,
    region_code: Optional[str] = None,
    education: Optional[str] = None
) -> Dict[str, Any]:
    """
    各学历，求职途径分布 - 指标计算函数
    
    ## 指标说明
    该指标用于统计不同学历毕业生获取第一份工作的途径分布情况，计算各选项选择人数的占比。
    数据来源于问卷问题"我获得第一份工作的途径"的答案，可按照学历维度进行分组统计。
    
    ## Args
        project_id (int): 项目ID，用于查询项目配置信息
        questionnaire_ids (List[int]): 问卷ID集合，用于确定数据范围
        product_code (Optional[str]): 产品编码，用于路由到特定计算逻辑
        project_code (Optional[str]): 项目编码，用于路由到特定计算逻辑
        region_code (Optional[str]): 区域编码，用于路由到特定计算逻辑
        education (Optional[str]): 学历筛选条件，可选值为[本科毕业生，专科毕业生，硕士研究生，博士研究生]
        
    ## 示例
    ### 输入
    ```json
    {
        "project_id": 5895,
        "questionnaire_ids": [11158, 11159],
        "education": "博士研究生"
    }
    ```
    
    ### 输出
    ```json
    {
        "success": true,
        "message": "ok",
        "code": 0,
        "result": {
            "博士研究生": {
                "校园招聘会或学校发布的招聘信息": 0.25,
                "学校老师推荐": 0.15,
                "工作实习": 0.2,
                "校外招聘会": 0.1,
                "校外各类招聘网站信息": 0.15,
                "家庭或其他社会关系": 0.1,
                "其他": 0.05
            },
            "总计": {
                "校园招聘会或学校发布的招聘信息": 0.3,
                "学校老师推荐": 0.2,
                "工作实习": 0.15,
                "校外招聘会": 0.1,
                "校外各类招聘网站信息": 0.15,
                "家庭或其他社会关系": 0.05,
                "其他": 0.05
            }
        }
    }
    ```
    """
    logger.info(f"开始计算指标: 各学历，求职途径分布, 项目ID: {project_id}")
    
    try:
        db = MySQLUtil()  

        # 1. 查询项目配置信息
        project_sql = """
        SELECT client_code, item_year, dy_target_items, split_tb_paper 
        FROM client_item 
        WHERE id = %s
        """
        project_info = db.fetchone(project_sql, (project_id,))
        if not project_info:
            raise ValueError(f"未找到项目ID={project_id}的配置信息")

        client_code = project_info['client_code']
        item_year = project_info['item_year']
        split_tb_paper = project_info['split_tb_paper']
        
        logger.info(f"项目配置: client_code={client_code}, item_year={item_year}, split_tb_paper={split_tb_paper}")

        # 2. 计算 shard_tb_key
        shard_tb_key = re.sub(r'^[A-Za-z]*0*', '', client_code)
        logger.info(f"计算得到 shard_tb_key: {shard_tb_key}")

        # 3. 查询问卷信息
        questionnaire_sql = f"""
        SELECT id, dy_target 
        FROM wt_template_customer 
        WHERE id IN ({','.join(['%s'] * len(questionnaire_ids))})
        """
        questionnaires = db.fetchall(questionnaire_sql, tuple(questionnaire_ids))
        if not questionnaires:
            raise ValueError(f"未找到问卷ID集合={questionnaire_ids}的配置信息")
        
        logger.info(f"查询到问卷信息: {questionnaires}")

        # 4. 过滤特定调研对象的问卷
        valid_questionnaire_ids = [q['id'] for q in questionnaires if q['dy_target'] == 'GRADUATE_SHORT']
        if not valid_questionnaire_ids:
            raise ValueError("未找到目标调研对象的问卷ID")
            
        logger.info(f"找到有效问卷ID: {valid_questionnaire_ids}")

        # 5. 查询问题信息
        question_sql = """
        SELECT id, wt_code, wt_obj 
        FROM wt_template_question_customer 
        WHERE cd_template_id = %s AND wt_code = %s AND is_del = 0
        """
        question_info = db.fetchone(question_sql, (valid_questionnaire_ids[0], 'T00003504'))
        if not question_info:
            raise ValueError("未找到指定问题编码的问题信息")
            
        logger.info(f"找到问题信息: {question_info['id']}")

        # 6. 解析问题选项
        wt_obj = json.loads(question_info['wt_obj'])
        options = {item['key']: item['val'] for item in wt_obj['itemList']}
        
        # 7. 构建动态表名
        answer_table = f"re_dy_paper_answer_{split_tb_paper}"
        student_table = f"dim_client_target_baseinfo_student_{item_year}"

        # 8. 构建学历筛选条件
        education_condition = ""
        if education:
            education_condition = f"AND s.education = '{education}'"
        
        # 9. 构建SQL查询
        sql = f"""
        SELECT
            SUM(t1.c1)/COUNT(*) as '1',
            SUM(t1.c2)/COUNT(*) as '2',
            SUM(t1.c3)/COUNT(*) as '3',
            SUM(t1.c4)/COUNT(*) as '4',
            SUM(t1.c5)/COUNT(*) as '5',
            SUM(t1.c6)/COUNT(*) as '6',
            SUM(t1.c7)/COUNT(*) as '7'
        FROM
            {answer_table} t1
            JOIN {student_table} s ON t1.target_no = s.target_no
        WHERE
            t1.cd_template_id = %s
            AND t1.wid = %s
            AND t1.ans_true = 1
            AND s.shard_tb_key = %s
            AND s.item_year = %s
            {education_condition}
        """
        
        # 10. 执行查询
        result = db.fetchone(sql, (valid_questionnaire_ids[0], question_info['id'], shard_tb_key, item_year))
        if not result:
            raise ValueError("未找到有效的答案数据")
            
        logger.info(f"查询结果: {result}")

        # 11. 构建返回数据
        response_result = {}
        
        if education:
            # 如果指定了学历，只返回该学历和总计
            formatted_result = {
                options[key]: float(result[key] or 0) 
                for key in ['1', '2', '3', '4', '5', '6', '7']
            }
            response_result[education] = formatted_result
            
            # 查询汇总数据
            total_sql = f"""
            SELECT
                SUM(t1.c1)/COUNT(*) as '1',
                SUM(t1.c2)/COUNT(*) as '2',
                SUM(t1.c3)/COUNT(*) as '3',
                SUM(t1.c4)/COUNT(*) as '4',
                SUM(t1.c5)/COUNT(*) as '5',
                SUM(t1.c6)/COUNT(*) as '6',
                SUM(t1.c7)/COUNT(*) as '7'
            FROM
                {answer_table} t1
                JOIN {student_table} s ON t1.target_no = s.target_no
            WHERE
                t1.cd_template_id = %s
                AND t1.wid = %s
                AND t1.ans_true = 1
                AND s.shard_tb_key = %s
                AND s.item_year = %s
            """
            
            total_result = db.fetchone(total_sql, (valid_questionnaire_ids[0], question_info['id'], shard_tb_key, item_year))
            if total_result:
                total_formatted = {
                    options[key]: float(total_result[key] or 0)
                    for key in ['1', '2', '3', '4', '5', '6', '7']
                }
                response_result["总计"] = total_formatted
        else:
            # 如果没有指定学历，返回所有学历和总计
            education_list = ["本科毕业生", "专科毕业生", "硕士研究生", "博士研究生"]
            for edu in education_list:
                edu_sql = f"""
                SELECT
                    SUM(t1.c1)/COUNT(*) as '1',
                    SUM(t1.c2)/COUNT(*) as '2',
                    SUM(t1.c3)/COUNT(*) as '3',
                    SUM(t1.c4)/COUNT(*) as '4',
                    SUM(t1.c5)/COUNT(*) as '5',
                    SUM(t1.c6)/COUNT(*) as '6',
                    SUM(t1.c7)/COUNT(*) as '7'
                FROM
                    {answer_table} t1
                    JOIN {student_table} s ON t1.target_no = s.target_no
                WHERE
                    t1.cd_template_id = %s
                    AND t1.wid = %s
                    AND t1.ans_true = 1
                    AND s.shard_tb_key = %s
                    AND s.item_year = %s
                    AND s.education = %s
                """
                edu_result = db.fetchone(edu_sql, (valid_questionnaire_ids[0], question_info['id'], shard_tb_key, item_year, edu))
                if edu_result:
                    edu_formatted = {
                        options[key]: float(edu_result[key] or 0)
                        for key in ['1', '2', '3', '4', '5', '6', '7']
                    }
                    response_result[edu] = edu_formatted
            
            # 查询汇总数据
            formatted_result = {
                options[key]: float(result[key] or 0) 
                for key in ['1', '2', '3', '4', '5', '6', '7']
            }
            response_result["总计"] = formatted_result
        
        response = {
            "success": True,
            "message": "ok",
            "code": 0,
            "result": response_result
        }

        logger.info(f"指标 '各学历，求职途径分布' 计算成功")
        return response

    except Exception as e:
        logger.error(f"计算指标 '各学历，求职途径分布' 时发生错误: {str(e)}", exc_info=True)
        return {
            "success": False,
            "message": f"数据获取失败: 各学历，求职途径分布",
            "code": 500,
            "error": str(e)
        }